Choose where to hire with a talent market map

How many people hold the role in five cities, how many companies are hiring for it there, the salaries posted, all converted to one currency.

Steps

At most, per call

A talent market map compares cities by how many people hold a role, how many employers compete for them and what they are paid. With Agentik, your AI counts the people with Leadsforge, counts open roles through TikHub, reads posted salaries with DataForSEO, and converts them with Frankfurter.

Step 1: Count the people
Leadsforge counts the people who hold the role in each city, for free.
- Leadsforge people countLeadsforge · 5 citiesFree
Step 2: Count the competition
TikHub counts the open LinkedIn roles competing for them in each city.
- LinkedIn job searchTikHub · 5 cities$0.25
Step 3: Read posted salaries
Google Jobs results show the salary ranges posted in each city.
- Google Jobs SERPDataForSEO · 5 cities$0.009
- Google Jobs SERPDataForSEO · 5 resultsFree
Step 4: Convert currencies
Frankfurter converts every salary into your currency with today’s reference rates.
- Currency exchange ratesFrankfurter · 1 rate setFree
Step 5: Compare the cities
Your AI compares the cities and names the two where hiring looks easiest.
Your agent does this part, with no tool call.

Cost of the example

At most $0.26one run

One role in 5 cities, 5 free people counts, 5 LinkedIn job searches, 5 Google Jobs searches, today’s exchange rates.

Give this to your agent

Use my connected Agentik MCP server for this job: talent market map.

Map the talent market for a role. First ask me for the role, five candidate cities and my currency.

Count the people who hold the role in each city with leadsforge/count-people. Count the open roles competing for them with tikhub/linkedin-web-v2-search-jobs. Read posted salaries in each city with dataforseo/serp-google-jobs. Convert salaries with frankfurter/latest-rates.

Finish with a table (city, people in the role, open roles, ratio, salary range in my currency) and the two cities where hiring looks easiest.

Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged.

4 providers, one connection

What you get

A city comparison for one role.

You provide

The role
Five candidate cities
Your currency

Your agent returns

People in the role per city
Open roles competing for them
Posted salaries in one currency
The cities where hiring looks easiest

CitiesExample layout

City	People in the role	Open roles	Posted salary
Berlin
Lisbon
Warsaw

Placeholders. Your rows come from your run.

Each provider does one part

No single provider covers this job. Your agent calls each one for its part, from one connection.

Good to know

People counts come from Leadsforge’s database and are estimates.
Few posts show salaries in some countries; your AI says when a range rests on few posts.

When to use something else

For labour market analytics with history and forecasts, use a talent intelligence platform. This playbook compares a few cities for one decision.

Questions

How accurate are the people counts?

They are estimates from Leadsforge’s database of public profiles.

What if few posts show salaries?

Your AI says when a range rests on few posts; some countries rarely publish pay.

What does the example cost?

At most $0.26, reserved before each call and settled at the measured usage.

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